A scalable method for efficient grid resource discovery

Authors:
Yan Zhang;Yan Jia;Xiaobin Huang;Bin Zhou;Jian Gu
Affiliations:
School of Computer Science, National University of Defense Technology, Changsha, China;School of Computer Science, National University of Defense Technology, Changsha, China;Department of information Engineering, Air Force Radar Academy, Wuhan, China;School of Computer Science, National University of Defense Technology, Changsha, China;School of Computer Science, National University of Defense Technology, Changsha, China
Venue:
CDVE'07 Proceedings of the 4th international conference on Cooperative design, visualization, and engineering
Year:
2007

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Abstract

How to discover resource rapidly and exactly in distributed and heterogeneous grid environment is a key problem that affects grid computing performance. in this paper, the P2P method is used to improve scalability of resource discovery mechanism, and a decentralized resource discovery method with well scalability is presented, this method uses binary tree to manage data, each node in grid is responsible for managing a part of resource information. Experimental result shows that the method presented in this paper can resolve many problems that exist in centralized mechanism, such as poor scalability, heavy load on resource information server and single point failure.